Computer Vision for Driver Assistance
Simultaneous Traffic and Driver Monitoring
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Beschreibung
This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems.
While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles.
Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design.
This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems.
While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles.
Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics inmodern vehicle design.
Explores theoretical and practical aspects of driver assistance systems, illustrated by various real-world experiments Presents technically advanced concepts in an accessible way that is suitable for beginners in the field Provides comprehensive guidelines for students, researchers and practitioners Elaborates on current topics in computer vision and pattern recognition, such as object detection, object tracking, and supervised and unsupervised classification techniques
Autor*in
Mahdi Rezaei
Themen in »Computer Vision for Driver Assistance«
advanced driver-assistance systems autonomous vehicles driver distraction driver fatigue vehicle detection supervised learning unsupervised learning object detection object tracking fuzzy logic
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“This book is a first as it integrates the concepts and techniques of computer vision with those of ADAS. Practitioners, professors, and graduate students will appreciate the breath of the topics covered, the depth of analysis provided by the experiments, and the accessible writing style adopted by the authors.” (Computing Reviews, December, 2017)
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